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TextYess MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Campaign Analytics, Get Campaign Conversions, Get Campaigns Delivery Status, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TextYess as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The TextYess app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to TextYess. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in TextYess?"
    )
    print(response)

asyncio.run(main())
TextYess
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About TextYess MCP Server

Connect your TextYess account to any AI agent and simplify how you manage your AI-driven sales, WhatsApp marketing campaigns, and conversational commerce analytics through natural conversation.

LlamaIndex agents combine TextYess tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Campaign Management — List all WhatsApp marketing campaigns and retrieve detailed analytics including opens, clicks, and revenue.
  • Order Tracking — Monitor conversational commerce sales by listing all orders processed through AI agents or campaigns.
  • Product Sync Oversight — List and inspect products synced from your e-commerce platform (Shopify, etc.) to your TextYess catalog.
  • Agent Interaction Monitoring — List and review recent customer conversations with your AI shopping agent to ensure quality.
  • Integration Control — List connected e-commerce platforms and verify active webhooks for product and order sync.
  • Organizational Insights — Retrieve metadata for your organization and user profile directly from the agent.

The TextYess MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 TextYess tools available for LlamaIndex

When LlamaIndex connects to TextYess through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-commerce, whatsapp-marketing, ai-sales-agent, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_campaign_analytics

Get analytics for a specific campaign

get_campaign_conversions

List orders generated by a campaign

get_campaigns_delivery_status

Check campaigns deliverability

get_current_user

Get authenticated user profile

get_organization_details

Get organization information

get_product_details

Get details for a specific product

list_ai_conversations

List AI agent interactions

list_all_orders

List all conversational commerce orders

list_configured_webhooks

List active webhooks

list_connected_integrations

List connected e-commerce platforms

list_marketing_campaigns

List WhatsApp marketing campaigns

list_products

List all synced products

Connect TextYess to LlamaIndex via MCP

Follow these steps to wire TextYess into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from TextYess

Why Use LlamaIndex with the TextYess MCP Server

LlamaIndex provides unique advantages when paired with TextYess through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine TextYess tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain TextYess tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query TextYess, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what TextYess tools were called, what data was returned, and how it influenced the final answer

TextYess + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the TextYess MCP Server delivers measurable value.

01

Hybrid search: combine TextYess real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query TextYess to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TextYess for fresh data

04

Analytical workflows: chain TextYess queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for TextYess in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with TextYess immediately.

01

"List all active marketing campaigns in my TextYess account."

02

"Show me the revenue generated by the 'Abandoned Cart' campaign (ID: camp_10293)."

03

"List the last 3 customer conversations with the AI shopping agent."

Troubleshooting TextYess MCP Server with LlamaIndex

Common issues when connecting TextYess to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

TextYess + LlamaIndex FAQ

Common questions about integrating TextYess MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query TextYess tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.